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Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging.


ABSTRACT: Quantitative cardiovascular magnetic resonance (CMR) imaging can be used to characterize fibrosis, oedema, ischaemia, inflammation and other disease conditions. However, the need to reduce artefacts arising from body motion through a combination of electrocardiography (ECG) control, respiration control, and contrast-weighting selection makes CMR exams lengthy. Here, we show that physiological motions and other dynamic processes can be conceptualized as multiple time dimensions that can be resolved via low-rank tensor imaging, allowing for motion-resolved quantitative imaging with up to four time dimensions. This continuous-acquisition approach, which we name cardiovascular MR multitasking, captures - rather than avoids - motion, relaxation and other dynamics to efficiently perform quantitative CMR without the use of ECG triggering or breath holds. We demonstrate that CMR multitasking allows for T1 mapping, T1-T2 mapping and time-resolved T1 mapping of myocardial perfusion without ECG information and/or in free-breathing conditions. CMR multitasking may provide a foundation for the development of setup-free CMR imaging for the quantitative evaluation of cardiovascular health.

SUBMITTER: Christodoulou AG 

PROVIDER: S-EPMC6141200 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging.

Christodoulou Anthony G AG   Shaw Jaime L JL   Nguyen Christopher C   Yang Qi Q   Xie Yibin Y   Wang Nan N   Li Debiao D  

Nature biomedical engineering 20180409 4


Quantitative cardiovascular magnetic resonance (CMR) imaging can be used to characterize fibrosis, oedema, ischaemia, inflammation and other disease conditions. However, the need to reduce artefacts arising from body motion through a combination of electrocardiography (ECG) control, respiration control, and contrast-weighting selection makes CMR exams lengthy. Here, we show that physiological motions and other dynamic processes can be conceptualized as multiple time dimensions that can be resolv  ...[more]

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